Ya‐Ting Chao

877 total citations
20 papers, 621 citations indexed

About

Ya‐Ting Chao is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Ya‐Ting Chao has authored 20 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Plant Science and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Ya‐Ting Chao's work include Plant Molecular Biology Research (8 papers), Genomics and Phylogenetic Studies (5 papers) and Plant Gene Expression Analysis (4 papers). Ya‐Ting Chao is often cited by papers focused on Plant Molecular Biology Research (8 papers), Genomics and Phylogenetic Studies (5 papers) and Plant Gene Expression Analysis (4 papers). Ya‐Ting Chao collaborates with scholars based in Taiwan, United States and United Kingdom. Ya‐Ting Chao's co-authors include Ming‐Che Shih, Wan‐Chieh Chen, Chun-Lin Su, Yao‐Chien Alex Chang, Chunyi Chen, Jia‐Ching Shieh, Chun‐Wen Cheng, Ruey‐Meei Wu, Yi‐Tzu Kuo and Yi‐Ping Fu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Ya‐Ting Chao

19 papers receiving 612 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ya‐Ting Chao Taiwan 11 413 387 100 31 29 20 621
Han Han China 14 595 1.4× 466 1.2× 47 0.5× 4 0.1× 15 0.5× 33 789
Tamás Borsics United States 10 318 0.8× 225 0.6× 18 0.2× 25 0.8× 10 0.3× 12 446
Hanyao Zhang China 15 366 0.9× 388 1.0× 30 0.3× 17 0.5× 41 1.4× 77 708
Yingxiu Xu China 11 741 1.8× 502 1.3× 44 0.4× 8 0.3× 24 0.8× 11 933
Michael Banf United States 10 166 0.4× 314 0.8× 26 0.3× 4 0.1× 11 0.4× 13 477
Stuart Meier South Africa 16 712 1.7× 557 1.4× 38 0.4× 3 0.1× 46 1.6× 28 982
Hongtao Xie China 11 459 1.1× 483 1.2× 37 0.4× 2 0.1× 16 0.6× 25 687
Yanna Gao China 9 208 0.5× 201 0.5× 16 0.2× 36 1.2× 10 0.3× 18 310
Hao Hu China 14 158 0.4× 367 0.9× 46 0.5× 8 0.3× 23 0.8× 42 610
Marilyn T. Marron United States 12 84 0.2× 191 0.5× 109 1.1× 9 0.3× 74 2.6× 15 698

Countries citing papers authored by Ya‐Ting Chao

Since Specialization
Citations

This map shows the geographic impact of Ya‐Ting Chao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ya‐Ting Chao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya‐Ting Chao more than expected).

Fields of papers citing papers by Ya‐Ting Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya‐Ting Chao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ya‐Ting Chao. The network helps show where Ya‐Ting Chao may publish in the future.

Co-authorship network of co-authors of Ya‐Ting Chao

This figure shows the co-authorship network connecting the top 25 collaborators of Ya‐Ting Chao. A scholar is included among the top collaborators of Ya‐Ting Chao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ya‐Ting Chao. Ya‐Ting Chao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sun, Wanting, Sy‐Chyi Cheng, Ya‐Ting Chao, et al.. (2023). Sugars and sucrose transporters in pollinia ofPhalaenopsis aphrodite(Orchidaceae). Journal of Experimental Botany. 74(8). 2556–2571. 1 indexed citations
2.
Chien, Pei-Shan, Ya‐Ting Chao, Yuying Hsu, et al.. (2022). Phosphate transporter PHT1;1 is a key determinant of phosphorus acquisition in Arabidopsis natural accessions. PLANT PHYSIOLOGY. 190(1). 682–697. 21 indexed citations
3.
Chen, Chun‐Yi, et al.. (2022). Comparative Genomics of Three Colletotrichum scovillei Strains and Genetic Analysis Revealed Genes Involved in Fungal Growth and Virulence on Chili Pepper. Frontiers in Microbiology. 13. 818291–818291. 8 indexed citations
4.
Chao, Ya‐Ting, et al.. (2020). Elucidation of enzymes involved in the biosynthetic pathway of bioactive polyacetylenes inBidens pilosausing integrated omics approaches. Journal of Experimental Botany. 72(2). 525–541. 6 indexed citations
5.
Lin, Chih-Cheng, Ya‐Ting Chao, Wan‐Chieh Chen, et al.. (2019). Regulatory cascade involving transcriptional and N-end rule pathways in rice under submergence. Proceedings of the National Academy of Sciences. 116(8). 3300–3309. 87 indexed citations
6.
Kuo, Yi‐Tzu, et al.. (2018). Segmental and tandem chromosome duplications led to divergent evolution of thechalcone synthasegene family inPhalaenopsisorchids. Annals of Botany. 123(1). 69–77. 31 indexed citations
7.
Chao, Ya‐Ting, Wan‐Chieh Chen, Chun‐Yi Chen, et al.. (2018). Chromosome‐level assembly, genetic and physical mapping of Phalaenopsis aphrodite genome provides new insights into species adaptation and resources for orchid breeding. Plant Biotechnology Journal. 16(12). 2027–2041. 72 indexed citations
8.
Chao, Ya‐Ting, et al.. (2017). Orchidstra 2.0—A Transcriptomics Resource for the Orchid Family. Plant and Cell Physiology. 58(1). pcw220–pcw220. 65 indexed citations
9.
Chao, Ya‐Ting, et al.. (2013). Identification and characterization of the microRNA transcriptome of a moth orchid Phalaenopsis aphrodite. Plant Molecular Biology. 84(4-5). 529–548. 25 indexed citations
10.
Su, Chun-Lin, Ya‐Ting Chao, Chunyi Chen, et al.. (2013). Orchidstra: An Integrated Orchid Functional Genomics Database. Plant and Cell Physiology. 54(2). e11–e11. 34 indexed citations
11.
Su, Chun-Lin, Wan‐Chieh Chen, Chunyi Chen, et al.. (2013). A Modified ABCDE Model of Flowering in Orchids Based on Gene Expression Profiling Studies of the Moth Orchid Phalaenopsis aphrodite. PLoS ONE. 8(11). e80462–e80462. 53 indexed citations
12.
Chao, Ya‐Ting, et al.. (2012). Classifying subtypes of acute lymphoblastic leukemia using silhouette statistics and genetic algorithms. Gene. 518(1). 159–163. 8 indexed citations
13.
Su, Chun-Lin, Ya‐Ting Chao, Yao‐Chien Alex Chang, et al.. (2011). De Novo Assembly of Expressed Transcripts and Global Analysis of the Phalaenopsis aphrodite Transcriptome. Plant and Cell Physiology. 52(9). 1501–1514. 92 indexed citations
14.
Liu, Yi‐Sheng, et al.. (2009). Spot detection for a 2-DE gel image using a slice tree with confidence evaluation. Mathematical and Computer Modelling. 50(1-2). 1–14. 9 indexed citations
15.
Wu, Ruey‐Meei, et al.. (2006). Pesticide exposure on southwestern Taiwanese with MnSOD and NQO1 polymorphisms is associated with increased risk of Parkinson's disease. Clinica Chimica Acta. 378(1-2). 136–141. 78 indexed citations
17.
Chen, Chien‐Yu, et al.. (2006). Pattern classification in DNA microarray data of multiple tumor types. Pattern Recognition. 39(12). 2426–2438. 27 indexed citations
18.
Chao, Ya‐Ting, et al.. (2003). TEOS1, a Novel Transposable Element Family from Oryza Sativa. Zhōngyāng yánjiūyuàn zhíwùxué huikān/Zhōngyāng yánjiūyuàn zhíwùxué huikān. 44(1). 1–11. 1 indexed citations
19.
Chao, Ya‐Ting, et al.. (2003). Rice structural and functional genome research in ASPGC, Academia Sinica. 14(4). 201–206.
20.
Chao, Ya‐Ting & Yasuo Ukai. (2000). Sample size required for marker assisted selection in improving quantitative traits of self-fertilizing species. Euphytica. 116(1). 87–94. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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